40 lines
1010 B
Python
40 lines
1010 B
Python
_base_ = [
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'../_base_/datasets/imagenet_bs32_mocov2.py',
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'../_base_/schedules/imagenet_sgd_coslr_200e.py',
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'../_base_/default_runtime.py',
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]
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# model settings
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model = dict(
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type='DenseCL',
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queue_len=65536,
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feat_dim=128,
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momentum=0.001,
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loss_lambda=0.5,
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backbone=dict(
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type='ResNet',
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depth=50,
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norm_cfg=dict(type='BN'),
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zero_init_residual=False),
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neck=dict(
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type='DenseCLNeck',
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in_channels=2048,
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hid_channels=2048,
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out_channels=128,
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num_grid=None),
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head=dict(
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type='ContrastiveHead',
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loss=dict(type='CrossEntropyLoss'),
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temperature=0.2),
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)
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find_unused_parameters = True
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# runtime settings
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default_hooks = dict(
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# only keeps the latest 3 checkpoints
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checkpoint=dict(type='CheckpointHook', interval=10, max_keep_ckpts=3))
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# NOTE: `auto_scale_lr` is for automatically scaling LR
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# based on the actual training batch size.
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auto_scale_lr = dict(base_batch_size=256)
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